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Remote Statistical Process Control Jobs in Virginia

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Remote Statistical Process Control information

What is the difference between Remote Statistical Process Control vs Remote Quality Analyst?

AspectRemote Statistical Process ControlRemote Quality Analyst
CredentialsStatistical certifications, engineering backgroundQuality assurance certifications, analytical skills
Work EnvironmentManufacturing, production settings, data analysisQuality departments, inspection, testing environments
Industry UsageManufacturing, industrial sectorsHealthcare, manufacturing, service industries
Job FocusMonitoring and controlling processes using statistical methodsEnsuring product quality and compliance

Remote Statistical Process Control specialists focus on analyzing manufacturing data to optimize processes, while Remote Quality Analysts concentrate on maintaining product quality standards. Both roles require analytical skills and industry knowledge but differ in their primary objectives and work environments.

Is SPC still relevant today?

Statistical Process Control (SPC) remains highly relevant for remote SPC professionals, as it is a fundamental method for monitoring and controlling manufacturing and business processes. The use of software tools and data analysis skills continues to enhance SPC effectiveness in quality management across industries. Staying current with statistical techniques and automation tools is important for success in this field.

Is SPC lean or six sigma?

Statistical Process Control (SPC) is a set of tools used within both Lean and Six Sigma methodologies to monitor and control processes. While SPC is a core component of Six Sigma for reducing variation, it is also used in Lean to identify inefficiencies, making it applicable in both approaches depending on the context. SPC skills are valuable for professionals working in process improvement roles, often requiring familiarity with control charts and data analysis tools.

What are the 7 tools of SPC?

The 7 tools of Statistical Process Control (SPC) are used to analyze and improve manufacturing processes. They include the Pareto chart, cause-and-effect diagram, control chart, histogram, scatter diagram, flowchart, and check sheet. These tools help SPC professionals identify variations, monitor process stability, and implement quality improvements.

What is Remote Statistical Process Control?

Remote Statistical Process Control (SPC) refers to the use of statistical methods and software to monitor, control, and improve manufacturing or business processes from a remote location. By collecting and analyzing data in real time, SPC professionals can detect variations, identify trends, and recommend corrective actions without being physically present at the production site. This approach helps organizations maintain product quality, reduce defects, and improve efficiency, especially in environments where on-site monitoring is not feasible. Remote SPC often involves the use of cloud-based tools and secure data transmission to ensure effective oversight.

How does a Remote Statistical Process Control specialist typically collaborate with on-site teams to ensure process quality?

Remote Statistical Process Control (SPC) specialists frequently work with on-site production and quality teams through virtual meetings, shared dashboards, and collaborative data analysis tools. They provide actionable insights by monitoring real-time process data, identifying trends or anomalies, and recommending corrective actions. Effective communication is crucial, as remote SPC specialists must clearly convey findings and support implementation of process improvements. Regular coordination ensures that remote oversight aligns with on-site operational goals and compliance requirements.

Which software is used for SPC?

In a remote statistical process control role, common software used includes Minitab, JMP, and InfinityQS, which provide tools for data analysis, control charts, and process monitoring. Proficiency in these programs is often required, along with understanding of SPC principles and data collection methods.

What are the key skills and qualifications needed to thrive as a Remote Statistical Process Control Specialist, and why are they important?

To thrive as a Remote Statistical Process Control Specialist, you need strong analytical skills, a solid understanding of statistics, and experience in quality assurance, often supported by a degree in engineering, mathematics, or a related field. Proficiency with statistical software tools like Minitab, JMP, or SPC modules within ERP systems, as well as familiarity with Six Sigma or similar certifications, is typically required. Attention to detail, problem-solving, and effective remote communication are essential soft skills for interpreting data trends and collaborating with distributed teams. These skills ensure accurate process monitoring, timely quality improvements, and efficient coordination, which are critical for maintaining manufacturing standards remotely.
What are the most commonly searched types of Statistical Process Control jobs in Virginia? The most popular types of Statistical Process Control jobs in Virginia are:
What are popular job titles related to Remote Statistical Process Control jobs in Virginia? For Remote Statistical Process Control jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Statistical Process Control jobs in Virginia look for? The top searched job categories for Remote Statistical Process Control jobs in Virginia are:
What cities in Virginia are hiring for Remote Statistical Process Control jobs? Cities in Virginia with the most Remote Statistical Process Control job openings:
Director, Data Analytics - Remote

Director, Data Analytics - Remote

UnitedHealth Group

Reston, VA • Remote

$134K - $230K/yr

Full-time

Retirement

Posted 28 days ago


Key responsibilities

  • Independently perform a broad range of quantitative analysis to inform the design, implementation, and evaluation of Medicare and Medicaid payment models.

  • Develop strategic working relationships with clients.

  • Design payment calculations, conduct financial and trend analysis, calculate quality metrics, and perform fast-paced ad-hoc analysis to quickly address client needs.


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

189th of 877 rated healthcare providers


Job description

We'll put you in the driver's seat on vital projects that have strategic importance to our mission of helping people lead healthier lives. Yes, we share a mission that inspires. We need your organizational talents and business discipline to help fuel ours. For those who want to invent the future of health care, here's your opportunity. We're going beyond basic care to health programs integrated across the entire continuum of care. Join us to start Caring. Connecting. Growing together.

The Lewin Group/OptumServe Consulting, a premier national health care and human services consulting and policy analysis firm with 50 years of experience, finds answers and solves problems for leading organizations in the public, non-profit, and private sectors. Seeking a dynamic, goal-oriented Director, Data Analytics to work on health and human services projects requiring intermediate SAS, R, Python, or SQL experience as well as knowledge of statistics and research methodology.

You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.  For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

Schedule: Monday - Friday, daylight hours in your time zone

Primary Responsibilities:

  • Independently perform a broad range of quantitative analysis to inform the design, implementation, and evaluation of Medicare and Medicaid payment models 
  • Develop strategic working relationships with clients
  • Design payment calculations, conduct financial and trend analysis, calculate quality metrics, and perform fast-paced ad-hoc analysis to quickly address client needs
  • Efficiently query large databases of healthcare claims and eligibility data
  • Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy 
  • Mentor other staff to develop their technical and analytical problem-solving skills
  • Write detailed specifications and documentation of data processing and analytical steps
  • Write effective and efficient code both independently and under the guidance of project managers using best practice quality control procedures
  • Maintain a consistently high degree of accuracy and attention to detail in all tasks
  • Work effectively and cooperatively as a member of a project team
  • Help to oversee adoption of artificial intelligence into technical activities

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

  • 8 years of experience using SQL, Python, R or SAS in a research, consulting, or business environment
  • 6 years of experience working on federal health policy issues, including Medicare and Medicaid value-based payment, working in multiple areas serving as a subject matter expert
  • Experience working with Medicare or Medicaid healthcare claims and enrollment data 
  • Experience working with and advising clients
  • Experience in managing personnel 
  • Extensive knowledge of healthcare data/payment concepts (e.g., claims data structure/contents, claim types, payment concepts)
  • Experience managing and working directly with teams operating in Snowflake and/or Databricks environments. 
  • Experience incorporating AI into technical workflows.
  • Excellent written and oral communication skills, including the ability to clearly communicate analyses and findings to clients

Preferred Qualifications:

  • Academic coursework in advanced statistics or econometric modeling
  • Experience supporting multi-year payment model implementation contracts
  • Experience leading statistical analysis to inform health policy
  • Experience with databases having complex structures and relationships, such as the Integrated Data Repository, Chronic Conditions Warehouse, or similar data environment 
  • Experience working with Github
  • Familiarity with Medicare payment methodologies

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $134,600 to $230,800 annually based on full-time employment. We comply with all minimum wage laws as applicable.

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

OptumCare is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

OptumCare is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.


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